A digital infrastructure for the prevention of volcanic eruptions in the Canary Islands
From 01 / 12 / 2022 to 30 / 11 /2025
The objective of this project is to implement a system for the automatic analysis of volcanic monitoring data recorded by INVOLCAN, using cutting-edge technologies based on Artificial Intelligence.
These tools will strengthen the Canary Islands’ volcanic early warning system, consolidating it as a natural laboratory of excellence in the field of volcanic monitoring.
DIGIVOLCAN also includes the development of a web interface for viewing the processed data, which can be used by both civil protection authorities and the general public.
— María del Carmen Benítez Ortúzar
— Ángel Gerardo Alguacil de la Blanca
— Isaac Álvarez
— José Camacho Páez
— Sonia Mota Fernández
— Ligdamis A. Gutiérrez Espinoza (full time)
— J. Javier Fernández Carabantes (full time)
— Daniel Vallejo España (full time)
— Jesús García Sánchez (full time)
— Ángel Sáenz Briones (part time)
— José Palencia Paces (part time)
Responsible
José Camacho Páez
Goal
Exploratory analysis of the massive data collected from the seismic monitoring system, with the aim of identifying sensor problems/misfunctioning and sensor diversity, estimating uncertainty and temporal and spatial correlation and optimizing the data quality.
Responsible
María del Carmen Benítez Ortúzar
Goal
To provide reliable tools for Volcanic Detection and classification of volcano seismic events using Deep Learning techniques.
Responsible
Luz García Martínez
Goal
Implementation of an early warning sub-system for volcano-seismic hazards prediction based on Distributed Acoustic Sensing.
Responsible
Jesús Miguel Ibáñez Godoy
Goal
To search for pre-eruptive observables that can be used for short-term volcanic early warning. We identify seismic features extracted from seismic signals to identify temporal patterns that can be generalized as short-term eruptive precursors for diverse eruptive scenarios.
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